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BackgroundAcute myocardial ischemia is a common cause of ventricular arrhythmias, yet recent ECG methods predicting susceptibility to ventricular tachyarrhythmia have not been fully evaluated during spontaneous ischemia. We sought to evaluate the clinical utility of alternans and non-alternans components of repolarization variability from the standard 10-second 12-lead ECG signals to risk stratify patients with acute chest pain.MethodsWe enrolled consecutive, non-traumatic, chest pain patients transported through Emergency Medical Services (EMS) to three tertiary care hospitals with cardiac catheterization lab capabilities in Pittsburgh, PA. ECG signals were manually annotated by an electrophysiologist, then automatically processed using a custom-written software. Both T wave alternans (TWA) and non-alternans repolarization variability (NARV) were calculated using the absolute RMS differences over the repolarization window between odd/even averaged beats and between consecutive averaged pairs, respectively. The primary study outcome was the presence of acute myocardial infarction (AMI) documented by cardiac angiography.ResultsAfter excluding patients with secondary repolarization changes (n=123) and those with excessive noise (n=90), our final sample included 537 patients (age 57±16years, 56% males). Patients with AMI (n=47, 9%) had higher TWA and NARV values (p

Introduction: Endotracheal intubation (ETI) in the prehospital setting poses unique challengeswhere multiple ETI attempts are associated with adverse patient outcomes. Early identificationof difficult ETI cases will allow providers to tailor airway-man agement efforts to minimizecomplications associated with ETI. We sought to derive and validate a prehospital difficult airwayidentification tool based on predictors of difficult ETI in other settings.Methods: We prospectively collected patient and airway data on all airway attempts from 16Advanced Life Support (ALS) ground emergency medical services (EMS) agencies from January2011 to October 2014. Cases that required more than two ETI attempts and cases where analternative airway strategy (e.g. supraglottic airway) was employed after one unsuccessful ETIattempt were categorized as “difficult.” We used a random allocation sequence to split the datainto derivation and validation subsets. Using backward elimination, factors with a p3 (2.15, 1. 19-3.88), limited neckmovement (2.24, 1.28-3.93), trismus/jaw clenched (2.24, 1.09-4. 6), inability to palpate thelandmarks of the neck (5.92, 2.77-12.66), and fluid in the airwa y such as blood or emesis (2.25,1.51-3.36). This was the most parsimonious model and exhibited good fit (Hos mer-Lemeshowtest p = 0.167) with an AUC of 0.68 (95% CI [0.64-0.73]). When applied to the validatio n set,the model had an AUC of 0.63 (0.58-0.68) with high specificity for identifying di fficult ETI if >2factors were present (87.7% (95% CI [84.1-90.8])).Conclusion: We have developed a simple tool using five factors that may aid p rehospitalproviders in the identification of difficult ETI.

Background: Timely administration of systemic corticosteroids is a cornerstone of asthma exacerbation treatment, yet little is known regarding potential benefits of prehospital administration by emergency medical services (EMS) clinicians. We examined factors associated with prehospital corticosteroid administration with hospitalization and hospital length of stay (LOS). Methods: We performed a retrospective study of EMS encounters for patients 2–50 years of age with suspected asthma exacerbation from a national data set. We evaluated factors associated with systemic corticosteroid administration using generalized estimating equations. We performed propensity matching based on service level, age, encounter duration, vital signs, and treatments to evaluate the association of prehospital corticosteroid administration with hospitalization and LOS using weighted logistic regression. We evaluated the association of prehospital corticosteroid administration with admission using Bayesian models. Results: Of 15,834 encounters, 4731 (29.9%) received prehospital systemic corticosteroids. Administration of corticosteroids was associated with older age; sex; urbanicity; advanced life support provider; vital sign instability; increasing doses of albuterol; and provision of ipratropium bromide, magnesium, epinephrine, and supplementary oxygen. Within the matched sample, prehospital corticosteroids were not associated with hospitalization (odds ratio [OR] 0.86, 95% confidence interval [CI] 0.73–1.01) or LOS (multiplier 0.76, 95% CI 0.56–1.05). Administration of corticosteroids was associated with lower odds of admission and shorter LOS in longer EMS encounters (>34 min), lower admission odds in patients with documented wheezing, and shorter LOS among patients treated with albuterol. In a Bayesian model with noninformative priors, the OR for admission among encounters given corticosteroids was 0.86 (95% credible interval 0.77–0.96). Conclusions: Prehospital systemic corticosteroid administration was not associated with hospitalization or LOS in the overall cohort of asthma patients treated by EMS, though they had a lower probability of admission within Bayesian models. Improved outcomes were noted among subgroups of longer EMS encounters, documented wheezing, and receipt of albuterol. [ABSTRACT FROM AUTHOR]

Background: Traumatic shock is the leading cause of preventable death with most patients dying within the first six hours from arriving to the hospital. This underscores the importance of prehospital interventions, and growing evidence suggests prehospital transfusion improves survival. Optimizing transfusion triggers in the prehospital setting is key to improving outcomes for patients in hemorrhagic shock. Our objective was to identify factors associated with early in-hospital transfusion requirements available to prehospital clinicians in the field to develop a simple algorithm for prehospital transfusion, particularly for patients with occult shock. Methods: We included trauma patients transported by a single critical care transport service to a level I trauma center between 2012 and 2019. We used logistic regression, Fast and Frugal Trees (FFTs), and Bayesian analysis to identify factors associated with early in-hospital blood transfusion as a potential trigger for prehospital transfusion. Results: We included 2,157 patients transported from the scene or emergency department (ED) of whom 207 (9.60%) required blood transfusion within four hours of admission. The mean age was 47 (IQR = 28 – 62) and 1,480 (68.6%) patients were male. From 13 clinically relevant factors for early hospital transfusions, four were incorporated into the FFT in following order: 1) SBP, 2) prehospital lactate concentration, 3) Shock Index, 4) AIS of chest (sensitivity = 0.81, specificity = 0.71). The chosen thresholds were similar to conventional ones. Using conventional thresholds resulted in lower model sensitivity. Consistently, prehospital lactate was among most decisive factors of hospital transfusions identified by Bayesian analysis (OR = 2.31; 95% CI 1.55 – 3.37). Conclusions: Using an ensemble of frequentist statistics, Bayesian analysis and machine learning, we developed a simple, clinically relevant prehospital algorithm to help identify patients requiring transfusion within 4 h of hospital arrival. [ABSTRACT FROM AUTHOR]

In many parts of the world, emergency medical services (EMS) clinical care is traditionally delivered by different levels or types of EMS clinicians, such as emergency medical technicians and paramedics. In some areas, physicians are also included among the cadre of professionals administering EMS-based care. This is especially true in the interfacility transport (IFT) setting. Though there is significant overlap between the knowledge and skills necessary to safely and effectively provide care in the IFT and prehospital settings, the IFT care environment requires physicians to develop several additional competencies beyond those that are expected of traditional EMS clinicians. NAEMSP first published recommendations regarding what some of these competencies should be in 1983 and subsequently updated those recommendations in 2002. This document is an updated work, given the evolution of the field. [ABSTRACT FROM AUTHOR]

Various vital sign ranges for pediatric patients have differing utility in identifying children with serious illness or injury requiring immediate intervention. While commonly used ranges are derived from samples of healthy children, limited research has explored the utility of those derived from real-world encounters by emergency medical services (EMS). We first sought to externally validate pediatric vital sign ranges empirically derived from the prehospital setting. Second, we compared the proportion of children who received prehospital interventions using current common classification systems versus empirically derived vital sign ranges. We retrospectively reviewed pediatric (<18 years) prehospital records from the 2021 ESO Collaborative dataset. We compared the proportions of encounters having vital signs (heart rate, respiratory rate, and systolic blood pressure) at the cutoffs of >99th, >95th, >90th, <10th, <5th and <1st centiles to previously reported centiles derived from EMS encounters in 2019–2020. We compared the deviation of mean Z-score by age between data sources. We identified the proportion of encounters with extreme (defined as <10th or >90th centile) vital signs who received prehospital interventions for the empirically derived criteria to six other classification criteria. 510,414 encounters were included, of which 66.9% were for medical indications and 70.7% resulted in hospital transport. The study sample had similar proportions of encounters identified at studied cutoffs compared to the previously published derivation sample, with all differences in proportions ≤1.1% between samples. All mean Z-scores were within 0.2 standard deviations of those from the derivation sample for each vital sign. Using empirically derived criteria, 34.2% had at least one extreme vital sign, compared to 69.1% with Pediatric Advanced Life Support criteria. Empirically derived extreme vital signs identified a higher proportion of children requiring most prehospital interventions compared to other vital signs criteria. Previously published empirically derived centiles for pediatric prehospital vital signs were replicated in this large multi-agency dataset. Compared to commonly used vital sign ranges, empirically derived criteria identified a higher proportion of children who received key prehospital interventions. Future steps include evaluating the role of these criteria in predictive models for in-hospital outcomes. [ABSTRACT FROM AUTHOR]

Pediatric prehospital encounters are proportionally low-frequency events. National pediatric readiness initiatives have targeted gaps in prehospital pediatric assessment and management. Regional studies suggest that pediatric vital signs are inconsistently obtained and documented. We aimed to assess national emergency medical services (EMS) data to evaluate completeness of assessment documentation for pediatric versus adult patients and to identify the documentation of condition-specific assessments. We performed a retrospective cross-sectional analysis of EMS encounters from the National Emergency Medical Services Information System for 2019, including all 9-1-1 encounters resulting in transport. Our primary outcome was the proportion of encounters with complete vital signs (heart rate, respiratory rate, and systolic blood pressure) documented by pediatric age category relative to adult encounters. Pediatric patients were considered as those less than 18 years old. Our secondary outcome was condition-specific assessments for encounters with respiratory emergencies, cardiac complaints, and trauma. We performed multivariable logistic regression to calculate odds ratios (OR) and 95% confidence intervals (95% CI) for vital signs documentation by age after adjusting for sex, injury status, transport type (advanced vs basic life support), census region, urbanicity, organization nonprofit status, and organization type. Of 18,918,914 EMS encounters, 6.4% involved pediatric patients. Documentation of complete vital signs was lowest in those <1 month old (30.8%) and rose with increasing age (highest in adults; 91.8%). Relative to adults, the adjusted odds of documented complete vital signs in patients <1 month old was 0.03 (95% CI 0.03–0.03) and increased with age to 0.76 (95% CI 0.75–0.77) in those 12–17 years old. Among those patients with respiratory, cardiac, and traumatic complaints, children had lower proportions of documented pulse oximetry, monitor use, and pain scores, respectively, compared to adults. Documentation of complete vital signs and condition-specific assessments occurs less frequently in children, especially in younger age groups, as compared to adults, which is a finding that exists across urbanicity, region, and level of response. These findings provide a benchmark for clinical care, quality improvement, and research in the prehospital setting. [ABSTRACT FROM AUTHOR]

We evaluated first-pass endotracheal intubation (ETI) success within the critical care transport (CCT) environment using a natural experiment created by the COVID-19 pandemic. Our primary objective was to evaluate if the use of personal protective equipment (PPE) or the COVID-19 time period was associated with differences in first-pass success rates of ETI within a large CCT system with a high baseline ETI first-pass success rate. We hypothesized that pandemic-related challenges would be associated with decreased first-pass success rates. We performed a retrospective before-after cohort study of airway management by CCT personnel relative to the COVID-19 pandemic. We used a mixed effects logistic regression to evaluate the association between enhanced PPE (N95 mask, eye protection) use and the pandemic time period on first-pass intubation success, while controlling for other factors potentially associated with intubation success. Variables in the final model included patient demographics (age, sex, and race), body mass index, medical category (trauma versus non-trauma), interfacility or scene response, blade size (Macintosh 3 versus 4), use of face mask, use of eye protection, and crew member length of service. We identified 1279 cases involving intubation attempts on adult patients during the study period. A total of 1133 cases were included in the final analysis, with an overall first-pass success rate of 95.7% (96.4% pre-COVID-19 and 94.8% during COVID-19). In our final mixed effects logistic regression model, enhanced PPE use and the COVID-19 time period were not associated with first-pass intubation success rate. In a large regional CCT system with a high ETI first-pass success rate, neither PPE use nor the COVID-19 time period were associated with differences in ETI first-pass success while controlling for relevant patient and operational factors. Other emergency medical services (EMS) systems may have encountered different effects of pandemic-related PPE use on intubation success rates. Further studies are needed to evaluate the influence of sustained use of enhanced PPE or changes in training or procedural experience on post-pandemic ETI first-pass success rates for non-CCT EMS clinicians. [ABSTRACT FROM AUTHOR]

Prehospital research and evidence-based guidelines (EBGs) have grown in recent decades, yet there is still a paucity of prehospital implementation research. While recent studies have revealed EMS agency leadership perspectives on implementation, the important perspectives and opinions of frontline EMS clinicians regarding implementation have yet to be explored in a systematic approach. The objective of this study was to measure the preferences of EMS clinicians for the process of EBG implementation and whether current agency practices align with those preferences. This study was a cross-sectional survey of National Registry of Emergency Medical Technicians registrants. Eligible participants were certified paramedics who were actively practicing EMS clinicians. The survey contained discrete choice experiments (DCEs) for three EBG implementation scenarios and questions about rank order preferences for various aspects of the implementation process. For the DCEs, we used multinomial logistic regression to analyze the implementation preference choices of EMS clinicians, and latent class analysis to classify respondents into groups by their preferences. A total of 183 respondents completed the survey. Respondents had a median age of 39 years, were 74.9% male, 89.6% White, and 93.4% of non-Hispanic ethnicity. For all three DCE scenarios, respondents were significantly more likely to choose options with hospital feedback and individual-level feedback from EMS agencies. Respondents were significantly less likely to choose options with email/online only education, no feedback from hospitals, and no EMS agency feedback to clinicians. In general, respondents' preferences favored classroom-based training over in-person simulation. For all DCE questions, most respondents (66.2%–77.1%) preferred their survey DCE choice to their agency's current implementation practices. In the rank order preferences, most participants selected "knowledge of the underlying evidence behind the change" as the most important component of the process of implementation. In this study of EMS clinicians' implementation preferences using DCEs, respondents preferred in-person education, feedback on hospital outcomes, and feedback on their individual performance. However, current practice at EMS agencies rarely matched those expressed EMS clinician preferences. Collectively, these results present opportunities for improving EMS implementation from the EMS clinician perspective. [ABSTRACT FROM AUTHOR]

Background: Vital signs are frequently used in pediatric prehospital assessments and guide protocol utilization. Common pediatric vital sign classification criteria identify >80% of children in the prehospital setting as having abnormal vital signs, though few receive lifesaving interventions (LSIs). We sought to identify data‐driven thresholds for abnormal vital signs by evaluating their association with prehospital LSIs. Methods: We evaluated prehospital care records for children (<18 years) transported to the hospital during 2022 from a large, national repository of emergency medical services (EMS) patient encounters. Predictors of interest were heart rate (HR), respiratory rate (RR), systolic blood pressure (SBP), and pulse oximetry. HR, RR, and SBP were converted to Z‐scores using age‐based distributional models. Our outcome was potential LSIs, defined as performance of selected respiratory procedures, resuscitative interventions, or medication administrations. Using cut point analysis, we identified higher specificity (maximal specificity with a minimum of 25% sensitivity) and higher sensitivity (maximal sensitivity with a minimum of 25% specificity) ranges for each vital sign and evaluated measures of diagnostic accuracy. Results: We included 987,515 children (median age 10 years, IQR 2–15 years). An LSI occurred in 4.3% (2.1% with respiratory procedures, 1.2% with resuscitative interventions, and 2.0% with medication administration). HR, RR, and SBP demonstrated a U‐shaped association with LSIs. Specificities ranged from 84.1% to 93.7% for higher specificity criteria, with RR demonstrating the best performance (sensitivity 84.6%, specificity 27.0%). Sensitivities ranged from 62.3% to 84.4% for higher sensitivity criteria. Conclusions: Cut points for pediatric vital signs were associated with LSIs. Specific age‐adjusted ranges can identify children at higher and lower risk for receipt of LSI. These ranges may be combined with other objective measures to improve the assessment of children in the prehospital setting, assist in optimizing protocol utilization, improve transport decision making, and guide destination selection. [ABSTRACT FROM AUTHOR]

Background: Vital signs are a critical component of the prehospital assessment. Prior work has suggested that vital signs may vary in their distribution by age. These differences in vital signs may have implications on in‐hospital outcomes or be utilized within prediction models. We sought to (1) identify empirically derived (unadjusted) cut points for vital signs for adult patients encountered by emergency medical services (EMS), (2) evaluate differences in age‐adjusted cutoffs for vital signs in this population, and (3) evaluate unadjusted and age‐adjusted vital signs measures with in‐hospital outcomes. Methods: We used two multiagency EMS data sets to derive (National EMS Information System from 2018) and assess agreement (ESO, Inc., from 2019 to 2021) of vital signs cutoffs among adult EMS encounters. We compared unadjusted to age‐adjusted cutoffs. For encounters within the ESO sample that had in‐hospital data, we compared the association of unadjusted cutoffs and age‐adjusted cutoffs with hospitalization and in‐hospital mortality. Results: We included 13,405,858 and 18,682,684 encounters in the derivation and validation samples, respectively. Both extremely high and extremely low vital signs demonstrated stepwise increases in admission and in‐hospital mortality. When evaluating age‐based centiles with vital signs, a gradual decline was noted at all extremes of heart rate (HR) with increasing age. Extremes of systolic blood pressure at upper and lower margins were greater in older age groups relative to younger age groups. Respiratory rate (RR) cut points were similar for all adult age groups. Compared to unadjusted vital signs, age‐adjusted vital signs had slightly increased accuracy for HR and RR but lower accuracy for SBP for outcomes of mortality and hospitalization. Conclusions: We describe cut points for vital signs for adults in the out‐of‐hospital setting that are associated with both mortality and hospitalization. While we found age‐based differences in vital signs cutoffs, this adjustment only slightly improved model performance for in‐hospital outcomes. [ABSTRACT FROM AUTHOR]